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A Feasibility Study on Improving Emotion Recognition from ECG Signals and HRV Features Through Baseline Clusterization
Electrocardiography (ECG) has the potential for bringing Affective Computing outside laboratories, thanks to the spread of wearable and inexpensive instrumentation. Nevertheless, intra individual variability could influence Machine Learning (ML) models’ accuracy. To assess this issue, we propose to
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